Fault Diagnosis of Gearbox of Wind Turbine Based on Improved Decision Tree Algorithm

DOI

10.2991/caai-17.2017.74How to use a DOI?

Keywords

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Abstract

The most significant feature of the decision tree algorithm is to transform the complex decision-making process into a number of simple decision-making processes and then accumulate it. It's a tree structure similar to the flow chart. The decision tree can be applied to the fault diagnosis of wind turbine gearbox to data mining for gearbox and then find rules and reflect in the form of rules. Experiments show that the use of decision tree method to extract rules can be faster and more accurate.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Siwen Zhu
AU  - Bin Jiao
PY  - 2017/06
DA  - 2017/06
TI  - Fault Diagnosis of Gearbox of Wind Turbine Based on Improved Decision Tree Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 329
EP  - 331
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.74
DO  - 10.2991/caai-17.2017.74
ID  - Zhu2017/06
ER  -